Abstract: Provided are L-glufosinate intermediate preparation method or L-glufosinate preparation method, the method, for preparing L-glufosinate intermediate or L-glufosinate from an L-homoserine derivative, comprising a step of preparing a compound of Chemical Formula 2 from a compound of Chemical Formula 1.

Abstract: An anti-chitinase-3-like protein 1 antibody or antigen-binding fragment thereof of the present invention comprises a light chain variable region comprising CDRs of table 1 and a heavy chain variable region comprising CDRs of table 2. The antibody is capable of specifically binding to chitinase-3-like protein 1 (CHI3L1) and thus can be used for the prevention or treatment of a CHI3L1-associated disease, or for the diagnosis of the disease.

Abstract: An electrode assembly, a manufacturing method, an ultrasonic cutting device, a cylindrical battery including the electrode assembly, a battery pack and a vehicle including the same are provided. In the electrode assembly, two electrodes and a separator interposed therebetween are wound about an axis, at least one of the electrodes includes an uncoated portion provided at a long side end, a winding turn region of the uncoated portion is provided at one end of the electrode assembly, the winding turn region includes a cut portion and a bent portion alternately disposed along a circumferential direction of the electrode assembly, an axial height of the cut portion is smaller than an axial height of the bent portion, the bent portion includes a plurality of uncoated portion flags, and the plurality of uncoated portion flags overlap along and axial direction to define a bending surface region.

Abstract: The present disclosure relates to a lithium secondary battery with improved safety during thermal runaway. The lithium secondary battery includes a positive electrode including a positive electrode active material, a negative electrode including a negative electrode active material, and an electrolyte, and has a nominal voltage of 3.68 V or greater, and VP represented by Equation (1) below is 4 mbar·Ah?1·sec?1 or less: Equation (1): VP=?P/(tmax×C).

Abstract: The present disclosure relates to a lithium secondary battery with improved safety during thermal runaway. The lithium secondary battery includes a positive electrode including a positive electrode active material, a negative electrode including a negative electrode active material, and an electrolyte, and has a nominal voltage of 3.68 V or greater, and VP represented by Equation (1) below is 4 mbar·Ah?1·sec?1 or less: Equation (1): VP=?P/(tmax×C).

Abstract: The present disclosure relates to a lithium secondary battery with improved safety during thermal runaway. The lithium secondary battery includes a positive electrode including a positive electrode active material, a negative electrode including a negative electrode active material, and an electrolyte, and has a nominal voltage of 3.68 V or greater, and VT represented by Equation (1) below measured after manufacturing a test module by stacking four of the lithium secondary battery fully charged by being charged to 4.35 V is 4 Ah/sec or less: Equation (1): VT=Ctotal/t.

Abstract: A nicotinamide adenine dinucleotide phosphate-dependent steroid dehydrogenase-like (NSDHL) inhibitor provided according to an aspect of the present invention can be used not only as an anticancer agent capable of overcoming resistance to EGFR-targeting anticancer agents, but also advantageously in the treatment of hyperlipidemia.

Abstract: The present disclosure relates to a lithium secondary battery with improved safety during thermal runaway. The lithium secondary battery includes a positive electrode including a positive electrode active material, a negative electrode including a negative electrode active material, and an electrolyte, and has a nominal voltage of 3.68 V or greater, and VT represented by Equation (1) below measured after manufacturing a test module by stacking four of the lithium secondary battery fully charged by being charged to 4.35 V is 4 Ah/sec or less: Equation (1): VT=Ctotal/t.

Abstract: A method of patient reporting based on a voice using artificial intelligence (AI) and an apparatus for performing the method can include receiving, by a patient analysis device, patient analysis basic information, and generating, by the patient analysis device, report basic information based on the patient analysis basic information. the method and apparatus can also include generating, by a patient report generation device, a patient report based on the report basic information.

Abstract: A method of disease management using voice data and an apparatus for performing the method can including receiving, by a voice based disease management device, user's voice data. The method and apparatus can also include generating, by the voice based disease management device, disease management data based on the voice data. Optionally, the step of generating disease management data can include extracting context data and out-of-context data based on the voice data.

Abstract: A method of generating a customized digital therapeutic on the basis of multi-source data analysis and an apparatus for performing the same can include receiving, by a digital therapeutic generation device, user data and generating, by the digital therapeutic generation device, a digital therapeutic personalized for a user on the basis of the user data.

Abstract: A method of developing a digital therapy solution through a modular digital therapy framework and an apparatus using the method can include receiving, by a digital therapy solution generator, digital therapy solution data; and generating, by the digital therapy solution generator, a digital therapy solution based on the digital therapy solution data.

Abstract: A predictive analysis method for disease progression monitoring and management and an apparatus for performing the method can include receiving, by a disease management device, user data and generating, by the disease management device, user disease management data based on the user data. The disease management data can include disease prediction data for a user or disease monitoring data for the user.

Abstract: A method of managing a medication prescription and dosage on the basis of a biomarker and an apparatus for performing the same can include receiving, by a prescription management device, user data and generating, by the prescription management device, prescription data on the basis of the user data.

Abstract: An electrode assembly includes electrodes and a first separator sheet in which the electrodes and first separator sheet portions of the first separator sheet are alternately stacked. The electrode comprises a first electrode and a second electrode. The first separator sheet has a zigzag shape formed by being folded at least twice. A length of the second electrode is shorter than a length of the first electrode. the electrode assembly includes a molding member located between a first section of the first separator sheet wrapping the second electrode and a first outer side surface of the electrode assembly and between the second electrode and a second outer side surface of the electrode assembly.

Abstract: A biosensor includes a stretchable substrate, a pixel defining layer on the stretchable substrate and including a first pixel defining layer at least partially defining a first opening and a second pixel defining layer at least partially defining a second opening, a photo-detecting element at least partially in the first opening, and a first light emitting element at least partially in the second opening, wherein an area of the first pixel defining layer is equal to or greater than about twice an area of the first opening.

Abstract: A light emitting device may include a first semiconductor layer; an active layer disposed on the first semiconductor layer; a second semiconductor layer disposed on the active layer; an electrode layer disposed on the second semiconductor layer; a protective layer disposed on the electrode layer; and an insulating film enclosing outer circumferential surfaces of at least the first semiconductor layer, the active layer, the second semiconductor layer, and the electrode layer, and exposing a surface of the first semiconductor layer and a surface of the protective layer.

Abstract: Provided is a method for decoding a video signal. The method includes generating a first prediction sample by performing intra prediction on a current block, determining an intra prediction pattern of a current block, partitioning the current block into a plurality of sub-blocks based on the determined intra prediction pattern, generating a first prediction sample for a sub-block by performing intra prediction, determining an offset for the sub-block to obtain a second prediction sample, and generating the second prediction sample for the sub-block by using the first prediction sample and the offset.

Abstract: Disclosed herein are a method, an apparatus, and a storage medium for image encoding/decoding. An intra-prediction mode for the target block is derived, and intra-prediction for the target block that uses the derived intra-prediction mode is performed. The intra-prediction mode for the target block is derived using an artificial neural network, and an MPM list for the target block is derived using information about the target block, pieces of information about blocks adjacent to the target block, and the artificial neural network. The artificial neural network outputs one or more available intra-prediction modes. Further, the artificial neural network outputs match probabilities for one or more candidate intra-prediction modes, and each of the match probabilities for the candidate intra-prediction modes indicates a probability that the corresponding candidate intra-prediction mode matches the intra-prediction mode for the target block.

Abstract: The present disclosure relates to an image encoding/decoding method for a machine and a device therefor. An image encoding method according to the present disclosure includes extracting an encoding method feature from an encoding input signal; determining an encoding method that is optimal for the encoding input signal based on the encoding method feature; transforming the encoding input signal based on the encoding method; and encoding an encoding target signal generated by transforming encoding method information and the encoding input signal.